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Tag: data

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Here you can find all blog posts about the Tag: data. You can go back to all blog posts or take a look into our other categories & tags.

Open source key areas for digital autonomy

by Jan Karremans | 03.2024
How PostgreSQL is destined to make a difference at a European level Why And not just “Why”, but also how. […]

The four quadrants of an Oracle migration

by Jan Karremans | 02.2024
This post aims to discuss the four quadrants from Oracle. Also we will show, how you can save time and money with a migration with CYPEX.

PostgreSQL: Why true Open Source matters

by Hans-Jürgen Schönig | 01.2024
Data oulives applications. Data matters. So does reliable and well maintained software as well. Read more about Open Source benefits.

Bulk load performance in PostgreSQL

by Laurenz Albe | 08.2023
  There are several techniques to bulk load data into PostgreSQL. I decided to compare their performance in a simple […]

Data Normalization in PostgreSQL

by Michał Małecki | 01.2022
In his blog "Normalization by Osmosis", Michał Małecki gives you an overview of data normalization in PostgreSQL, including normal forms

pg_rewrite: PostgreSQL Table Partitioning

by Hans-Jürgen Schönig | 12.2021
How to partition an existing table without locking up the database? pg_rewrite can help you with PostgreSQL table partitioning.

Postgres scaling advice

by CYBERTEC Guest | 01.2021
This article covers scaling advices for PostgreSQL and explains why it may be a good idea to keep it simple on the database side.

Binary data performance in PostgreSQL

by Laurenz Albe | 05.2020
  A frequently asked question in this big data world is whether it is better to store binary data inside […]

PostgreSQL v13 new feature: tuning autovacuum on insert-only tables

by Laurenz Albe | 04.2020
  Most people know that autovacuum is necessary to get rid of dead tuples. These dead tuples are a side […]

Looking at MySQL 8 with PostgreSQL goggles on

by CYBERTEC Guest | 02.2019
Compare MySQL 8 and PostgreSQL for available features, general querying experience and documentation clarity.
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